Publications by authors named "Sergei P Stepanoff"

Article Synopsis
  • Defects in electronic devices are typically seen as negative, but this study shows they can be useful in new computing methods, especially in low-power and noise-resilient systems.
  • The research focuses on using defects in two-dimensional semiconductors to improve a stochastic inference engine, which helps in making more accurate predictions even with noisy data.
  • By exploring the behavior of point defects in WSe FETs, the study demonstrates that these defects can enhance the performance of neuromorphic computing systems in medical image analysis compared to traditional encoders.
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Article Synopsis
  • The semiconductor industry is shifting to the 'More Moore' era, focusing on 3D integration to overcome the limitations of traditional 2D scaling in circuit design.
  • Innovations like monolithic 3D integration (M3D) offer potential improvements, but face challenges such as thermal processing issues that may impact performance.
  • Recent advancements include integrating two-dimensional materials, specifically WSe FETs, to achieve dense connections and implement vertical logic gates, showcasing progress in M3D integration for better circuit efficiency.
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n-type field effect transistors (FETs) based on two-dimensional (2D) transition-metal dichalcogenides (TMDs) such as MoS and WS have come close to meeting the requirements set forth in the International Roadmap for Devices and Systems (IRDS). However, p-type 2D FETs are dramatically lagging behind in meeting performance standards. Here, we adopt a three-pronged approach that includes contact engineering, channel length () scaling, and monolayer doping to achieve high performance p-type FETs based on synthetic WSe.

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The perovskite compound CsPbBr has recently been discovered as a promising room-temperature semiconductor radiation detector, offering an inexpensive and easy-to-manufacture alternative to the current benchmark material Cd Zn Te (CZT). The performance of CsPbBr sensors is evaluated under harsh conditions, such as high radiation doses often found in industrial settings and extreme radiation in space. Results show minimal degradation in detector performance after exposure to 1 Mrad of Co-60 gamma radiation, with no significant change to energy resolution or hole mobility and lifetime.

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Limitations in cloud-based computing have prompted a paradigm shift toward all-in-one "edge" devices capable of independent data sensing, computing, and storage. Advanced defense and space applications stand to benefit immensely from this due to their need for continual operation in areas where maintaining remote oversight is difficult. However, the extreme environments relevant to these applications necessitate rigorous testing of technologies, with a common requirement being hardness to ionizing radiation.

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Two-dimensional (2D) semiconductors possess promise for the development of field-effect transistors (FETs) at the ultimate scaling limit due to their strong gate electrostatics. However, proper FET scaling requires reduction of both channel length () and contact length (), the latter of which has remained a challenge due to increased current crowding at the nanoscale. Here, we investigate Au contacts to monolayer MoS FETs with down to 100 nm and down to 20 nm to evaluate the impact of contact scaling on FET performance.

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In-sensor processing, which can reduce the energy and hardware burden for many machine vision applications, is currently lacking in state-of-the-art active pixel sensor (APS) technology. Photosensitive and semiconducting two-dimensional (2D) materials can bridge this technology gap by integrating image capture (sense) and image processing (compute) capabilities in a single device. Here, we introduce a 2D APS technology based on a monolayer MoS phototransistor array, where each pixel uses a single programmable phototransistor, leading to a substantial reduction in footprint (900 pixels in ∼0.

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Discovering multifunctional materials with tunable plasmonic properties, capable of surviving harsh environments is critical for advanced optical and telecommunication applications. We chose high-entropy transition-metal carbides because of their exceptional thermal, chemical stability, and mechanical properties. By integrating computational thermodynamic disorder modeling and time-dependent density functional theory characterization, we discovered a crossover energy in the infrared and visible range, corresponding to a metal-to-dielectric transition, exploitable for plasmonics.

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